Senior Data Discovery and Enrichment Expert II

Job Description Senior Data Discovery and Enrichment Expert II Do you enjoy being part of a global team that works with a diverse range of products and technology? Do you enjoy mentoring other engineers, and helping them grow their careers? About our Team: Knowledge Innovation & Taxonomy Engineering (KITE) is the team within Elsevier Operations responsible for the taxonomies, vocabularies and knowledge graphs that sit beneath many of Elsevier’s products. In plain terms, a taxonomy is a structured, standardized, vocabulary of concepts, - such as diseases, drugs, materials or research topics — and the relationships between them. This shared structure is what lets our products tag content consistently, return relevant search results, connect related information, and feed reliable, well-grounded answers to AI features. Main areas of work • Taxonomy automation development — pipelines, scripts and tools that speed up taxonomy creation and editorial work. • Platform development and support for CENtree, the shared taxonomy-management system used across all teams. • Automated Curation and enrichment of taxonomies with semantic structure and relationships and their operationalization as reusable services. About the Role: We are looking for an individual to support our team in linking our existing taxonomies and ontologies in a meaningful way, applying linked data standards and best practices. The ideal candidate combines strong technical skills in semantic web technologies with a solid understanding of data modelling for knowledge organization systems. Responsibilities: · Design and implement methods for linking and aligning existing taxonomies and ontologies · Model and maintain controlled vocabularies, taxonomies and ontologies using SKOS, SKOS-XL, and OWL · Query and manipulate semantic data using SPARQL · Integrate taxonomy/ontology data with other systems via REST APIs · Write and maintain Python scripts/tools to support data modeling and integration workflows · Collaborate with the team to understand data needs and translate them into semantic data models Requirements: · Extensive hands-on experience with SPARQL · Advanced Python programming skills · Experience working with REST APIs · Good data modelling experience · Experience with at least one taxonomy/ontology management tool (e.g., Centre, Synaptica, Top Braid, Protégé, or equivalent) · Understanding of linked data standards and principles · Familiarity with semantic web standards (RDF, RDFS, JSON-LD) · Ability to understand and translate business/data needs into semantic modeling solutions Nice to Have · Prior experience linking or aligning multiple taxonomies/ontologies at scale · Experience using Git/GitHub · Understanding of AWS (specifically Batch, Lambda, Athena, S3, ECR, RDS, SNS/SQS) · Hands-on knowledge of automation, CI/CD a plus · Background in Life Sciences or similar · Experience with SHACL --- Work in a way that works for you: - We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you: - At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Group Health Insurance Policy (covering self and family) Group Life insurance/accident policy Generous long-service awards New Baby gift Subsidized food provided (applies to India- Chennai) Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave Free Transport provided to and from the office (applies to India-Chennai) About Us: - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s 





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